Auto Learning Specialization
What yous'll acquire
Build ML models alongside NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression)
Build & prepare a neural meshwork with TensorFlow to perform multi-grade classification, & construct & function decision trees & tree ensemble methods
Apply best practices for ML development & function unsupervised learning techniques for unsupervised learning including clustering & anomaly detection
Build recommender systems amongst a collaborative filtering approach & a content-based deep learning method & make a deep reinforcement learning model
Advance your subject area-thing expertise
Learn in-demand skills from academy too manufacture experts
Master a discipline or tool alongside hands-on projects
Develop a deep understanding of central concepts
Earn a career certificate from Stanford University
Specialization - iii grade series
The Machine Learning Specialization is a foundational online plan created inwards collaboration betwixt DeepLearning.AI in addition to Stanford Online. This beginner-friendly program volition learn you lot the fundamentals of machine learning as well as how to function these techniques to construct real-Earth AI applications.
